Relevant bibliographies by topics / Food spoilage monitoring

Academic literature on the topic 'Food spoilage monitoring'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Food spoilage monitoring"

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Hindle, Francis, Lotta Kuuliala, Meriem Mouelhi, Arnaud Cuisset, Cédric Bray, Mathias Vanwolleghem, Frank Devlieghere, Gaël Mouret, and Robin Bocquet. "Monitoring of food spoilage by high resolution THz analysis." Analyst 143, no. 22 (2018): 5536–44. http://dx.doi.org/10.1039/c8an01180j.

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High resolution rotational Terahertz (THz) spectroscopy is suited to studies of numerous polar gas phase molecules, and particularly volatile organic compounds (VOCs). Analysis of the headspace gas of packed Salmon fillets indicates the degree of food spoilage.
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Calabretta, Maria Maddalena, Denise Gregucci, Riccardo Desiderio, and Elisa Michelini. "Colorimetric Paper Sensor for Food Spoilage Based on Biogenic Amine Monitoring." Biosensors 13, no. 1 (January 11, 2023): 126. http://dx.doi.org/10.3390/bios13010126.

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Biogenic amines (BAs), nitrogenous molecules usually present in different foods, can be considered an indicator of freshness and food quality since their amount increases during food spoilage. Their detection, possibly in real time via the use of smart packaging, is therefore of crucial importance to ensure food safety and to fulfill consumers’ demand. To this end, colorimetric sensors are considered one of the most feasible solutions. Here, we report a user-friendly colorimetric sensing paper able to detect BAs via the naked eye. The sensing molecule is the aglycone genipin, a natural cross-linking agent extracted from gardenia fruit, able to bind BAs producing water-soluble blue pigments. The paper sensor was applied to chicken meat quality monitoring and a quantitative analysis was performed with image acquisition via a smartphone camera, achieving a limit of detection equivalent to 0.1 mM of putrescine. The suitability of the BA sensing paper was assessed by integrating the sensor into smart packaging and analyzing commercial chicken meat samples stored at different temperatures; the results of the sensor paralleled the “best before date” indicated on the label, confirming the potential applicability of the sensor as a smart label.
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Sternisa, Meta, Mihael Cargo, and Sonja Smole-Mozina. "Spoilage bacteria pseudomonas - production of hydrolytic enzymes and ability to grow at 5°C." Acta Periodica Technologica, no. 50 (2019): 278–85. http://dx.doi.org/10.2298/apt1950278s.

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Microbial growth and metabolism in food leads to organoleptic spoilage through altering colour, odour and texture of food, and slime or liquid production on the surface. In the dynamics of organoleptic spoilage, initial microbial contamination and storage temperature of food play an important role. Bacteria Pseudomonas are known as the most common spoilage bacteria. Aim of this study was to evaluate the ability of selected Pseudomonas strains to grow at 5?C in different food models, and to evaluate their spoilage potential as the ability to produce different hydrolytic enzymes at 5?C. This was determined through monitoring the number of bacterial cells in food models at 5?C, over 9 days of incubation, and on agars for detection of proteolytic and lipolytic activity. Of the four selected Pseudomonas strains (P. fragi CC151, P. fragi CC275, P. psychrophila CC291, P. lactis CC194), all were capable of producing lipolytic and proteolytic enzymes. When monitoring Pseudomonas growth in different food models (minced meat, pasteurized milk, apples) as compared to broth, the best growth was achieved in minced meat model, and the lowest in apple model. Thereby, the importance of the nutrients availability and the use of hydrolytic enzymes to exploit more complex nutrient molecules, especially proteins, has been confirmed. Selected Pseudomonas strains are able to grow in a variety of food media, and have the ability to produce hydrolytic enzymes, confirming their universality as refrigerated food spoilers, with high potential of persisting in the food storage environment.
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Magnaghi, Lisa Rita, Federica Capone, Camilla Zanoni, Giancarla Alberti, Paolo Quadrelli, and Raffaela Biesuz. "Colorimetric Sensor Array for Monitoring, Modelling and Comparing Spoilage Processes of Different Meat and Fish Foods." Foods 9, no. 5 (May 25, 2020): 684. http://dx.doi.org/10.3390/foods9050684.

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Meat spoilage is a very complex combination of processes related to bacterial activities. Numerous efforts are underway to develop automated techniques for monitoring this process. We selected a panel of pH indicators and a colourimetric dye, selective for thiols. Embedding these dyes into an anion exchange cellulose sheets, i.e., the commercial paper sheet known as “Colour Catcher®” commonly used in the washing machine to prevent colour run problems, we obtained an array made of six coloured spots (here named Dye name-CC@). The array, placed over the tray containing a sample of meat or fish (not enriched at any extend with spoilage products), progressively shows a colour change in the six spots. Photos of the array were acquired as a function of time, RGB indices were used to follow the spoilage, Principal Component Analysis to model the data set. We demonstrate that the array allows for the monitoring the overall spoilage process of chicken, beef, pork and fish, obtaining different models that mimic the degradation pathway. The spoilage processes for each kind of food, followed by the array colour evolution, were eventually compared using three-way PCA, which clearly shows same degradation pattern of protein foods, altered only according to the different substrates.
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Xu, Lingfeng, Ling Ni, Lihe Sun, Fang Zeng, and Shuizhu Wu. "A fluorescent probe based on aggregation-induced emission for hydrogen sulfide-specific assaying in food and biological systems." Analyst 144, no. 22 (2019): 6570–77. http://dx.doi.org/10.1039/c9an01582e.

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Borawake, Dr M. P. "E-Gadget to Detect Food Freshness using IoT and ML." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 2072–76. http://dx.doi.org/10.22214/ijraset.2021.39615.

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Abstract: The food we consume plays an important role in our daily life. It provides us energy which is needed to work, grow, be active, and to learn and think. The healthy food is essential for good health and nutrition. Light, oxygen, heat, humidity, temperature and spoilage bacteria can all affect both safety and quality of perishable foods. Food kept at room temperature undergoes some chemical reactions after certain period of time, which affects the taste, texture and smell of a food. Consuming spoiled food is harmful for consumers as it can lead to foodborne diseases. This project aims at detecting spoiled food using appropriate sensors and monitoring gases released by the particular food item. Sensors will measure the different parameters of food such as pH, ammonia gas, oxygen level, moisture, etc. The microcontroller takes the readings from sensors and these readings then given as an input to a machine learning model which can decide whether the food is spoilt or not based on training data set. Also, we plan to implement a machine learning model which can calculate the lifespan of that food item. Index Terms: Arduino Uno, Food spoilage, IoT, Machine Learning, Sensors.
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Qin, Yujuan, Pengcheng Huang, and Fang-Ying Wu. "Histamine-responsive dye-incorporated carbon dots for visual monitoring of food spoilage." Sensors and Actuators B: Chemical 365 (August 2022): 131911. http://dx.doi.org/10.1016/j.snb.2022.131911.

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Al-Hamry, Ammar, Tianqi Lu, Jing Bai, Anurag Adiraju, Tharun K. Ega, Igor A. Pašti, and Olfa Kanoun. "Layer-by-Layer Deposited Multi-Modal PDAC/rGO Composite-Based Sensors." Foods 12, no. 2 (January 6, 2023): 268. http://dx.doi.org/10.3390/foods12020268.

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Different environmental parameters, such as temperature and humidity, aggravate food spoilage, and different volatile organic compounds (VOCs) are released based on the extent of spoilage. In addition, a lack of efficient monitoring of the dosage of pesticides leads to crop failure. This could lead to the loss of food resources and food production with harmful contaminants and a short lifetime. For this reason, precise monitoring of different environmental parameters and contaminations during food processing and storage is a key factor for maintaining its safety and nutritional value. Thus, developing reliable, efficient, cost-effective sensor devices for these purposes is of utmost importance. This paper shows that Poly-(diallyl-dimethyl ammonium chloride)/reduced Graphene oxide (PDAC/rGO) films produced by a simple Layer-by-Layer deposition can be effectively used to monitor temperature, relative humidity, and the presence of volatile organic compounds as indicators for spoilage odors. At the same time, they show potential for electrochemical detection of organophosphate pesticide dimethoate. By monitoring the resistance/impedance changes during temperature and relative humidity variations or upon the exposure of PDAC/rGO films to methanol, good linear responses were obtained in the temperature range of 10–100 °C, 15–95% relative humidity, and 35 ppm–55 ppm of methanol. Moreover, linearity in the electrochemical detection of dimethoate is shown for the concentrations in the order of 102 µmol dm−3. The analytical response to different external stimuli and analytes depends on the number of layers deposited, affecting sensors’ sensitivity, response and recovery time, and long-term stability. The presented results could serve as a starting point for developing advanced multi-modal sensors and sensor arrays with high potential for analytical applications in food safety and quality monitoring.
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Ma, Yuchen, Wei Yang, Yujie Xia, Wenshuang Xue, Haixia Wu, Zhanming Li, Fang Zhang, Bin Qiu, and Caili Fu. "Properties and Applications of Intelligent Packaging Indicators for Food Spoilage." Membranes 12, no. 5 (April 28, 2022): 477. http://dx.doi.org/10.3390/membranes12050477.

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Food packaging plays a vital role in the food supply chain by acting as an additional layer to protect against food contamination, but the main function of traditional conventional packaging is only to isolate food from the outside environment, and cannot provide related information about food spoilage. Intelligent packaging can feel, inspect, and record external or internal changes in food products to provide further information about food quality. Importantly, intelligent packaging indicators will account for a significant proportion of the food industry’s production, with promising application potential. In this review, we mainly summarize and review the upcoming progress in the classification, preparation, and application of food packaging indicators. Equally, the feasibility of 3D printing in the preparation of intelligent food packaging indicators is also discussed in detail, as well as the limitations and future directions of smart food packaging. Taken together, the information supported in this paper provides new insights into monitoring food spoilage and food quality.
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Ahmad, Noor Azizah, Lee Yook Heng, Faridah Salam, Mohd Hazani Mat Zaid, and Sharina Abu Hanifah. "A Colorimetric pH Sensor Based on Clitoria sp and Brassica sp for Monitoring of Food Spoilage Using Chromametry." Sensors 19, no. 21 (November 5, 2019): 4813. http://dx.doi.org/10.3390/s19214813.

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A developed colorimetric pH sensor film based on edible materials for real-time monitoring of food freshness is described. The mixed natural dyes from edible plants Clitoria sp and Brassica sp were extracted and incorporated into ι-carrageenan film as a colorimetric pH sensor film for monitoring food spoilage and its freshness. The color changes of the developed colorimetric sensor film were measured with chromametry and UV-vis spectroscopy, respectively. Experimental results show that colorimetric pH sensor film demonstrated statistically significant differences (p < 0.05) between CIE-L*a*b* coordinates color system indicated that the developed colorimetric sensor film was able to give a gradual change in color over a wide pH range. The color of the colorimetric sensor film also changes discretely and linearly with factors that contribute to food spoilage using shrimp and durian samples. Moreover, the developed colorimetric pH sensor film has the potential to be used as a safe, non-destructive testing and also a flexibly visual method for direct assessment of food freshness indicator during storage.
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Dissertations / Theses on the topic "Food spoilage monitoring"

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Bhadra, Sharmistha. "Electrode-based wireless passive pH sensors with applications to bioprocess and food spoilage monitoring." IEEE, 2011. http://hdl.handle.net/1993/30366.

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This thesis purposes and develops inductively coupled LC (inductive-capacitive) pH sensors based on pH-sensitive electrode pair. The LC resonator circuit is based on a varactor and measures the low frequency potential difference. For wireless pH monitoring, the resonator circuit is integrated with a pH-sensitive electrode pair. This sensor demonstrates a linear response over 2 to 12 pH dynamic range, 0.1 pH accuracy and long-term stability. Accurate measurement of pH using electrode-based sensors is affected by temperature variation. A technique of simultaneously measuring two parameters, pH and temperature, with a single RLC resonator based sensor is presented. An algorithm is developed, which applies both pH and temperature measurement to incorporate temperature compensation in pH measurement. For in-fluid applications, an encapsulation method is applied to the LC resonator based sensor to reduce the influence of medium permittivity and conductivity on the sensor measurement. Non-invasive way to obtain reliable pH information from bacterial culture bioprocesses is demonstrated with the fluid embeddable sensor. The pH sensor is remodeled to an acidic and basic volatile sensor by embedding the electrodes in a hydrogel host electrolyte. Tests demonstrate that the volatile sensor has a detection limit of 1.5 ppm and 2 ppm for ammonia and acetic acid vapor, respectively. Application of the volatile sensor to fish spoilage monitoring shows that the sensor is capable of detecting the product rejection level with good sensitivity in real-time. It is important to develop low cost wireless passive pH sensor technologies for embedded applications such as bioprocess and food spoilage monitoring. The electrode-based passive LC sensor approach employed in this thesis overcomes drawbacks of some of the early developed passive pH sensors and can lead to an inexpensive implementation using printed electronics technology.
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Al, Hage Yassmin. "Qualitatitive and quantitative analysis of fish spoilage processes for development of new food monitoring systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9382/.

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This study investigates the growth and metabolite production of microorganisms causing spoilage of Atlantic cod (Gadus morhua) fillets packaged under air and modified atmosphere (60 % CO2, 40 % O2). Samples were provided by two different retailers (A and B). Storage of packaged fillets occurred at 4 °C and 8 °C. Microbiological quality and metabolite production of cod fillets stored in MAP 4 °C, MAP 8 °C and air were monitored during 13 days, 7 days and 3 days of storage, respectively. Volatile compounds concentration in the headspace were quantified by Selective ion flow tube mass spectrometry and a correlation with microbiological spoilage was studied. The onset of volatile compounds detection was observed to be mostly around 7 log cfu/g of total psychrotrophic count. Trimethylamine and dimethyl sulfide were found to be the dominant volatiles in all of the tested storage conditions, nevertheless there was no close correlation between concentrations of each main VOC and percentages of rejection based on sensory evaluation. According to results it was concluded that they cannot be considered as only indicators of the quality of cod fillets stored in modified atmosphere and air.
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Book chapters on the topic "Food spoilage monitoring"

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Fathima, Aksa, Tafadzwa Justin Chiome, Archer Ann Catherine, Chukwuebuka Egbuna, Raghu Ram Achar, and Asha Srinivasan. "Smart Use of Nanomaterials as Sensors for Detection and Monitoring of Food Spoilage." In Application of Nanotechnology in Food Science, Processing and Packaging, 169–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98820-3_11.

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Mohsin, Afreen, and Siva S. Yellampalli. "IoT-Based Cold Chain Logistics Monitoring." In Research Anthology on Food Waste Reduction and Alternative Diets for Food and Nutrition Security, 343–75. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5354-1.ch017.

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This chapter aims to reduce the extent of human presence all along the cold chain by means of a powerful tool in the form of the IoT. It should also be ensured that any details regarding instances of equipment failure leading to product spoilage or an event of a successful delivery must be communicated to the manufacturer's end. It also seeks to fill gaps involving location tracking and environment control by means of a GPS module and an IoT-based sensor platform respectively used here.
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Argyri, Anthoula, Efstathios Panagou, and George–John Nychas. "Monitoring Microbial Spoilage of Foods by Vibrational Spectroscopy (FT-IR & Raman)." In Novel Food Preservation and Microbial Assessment Techniques, 386–434. CRC Press, 2014. http://dx.doi.org/10.1201/b16758-17.

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Ahmad, Rayees, Shafiya Hassan, Showkat Ahmad, Syed Nighat, Yendrambamb K. Devi, Kounser Javeed, Salma Usmani, et al. "Stored Grain Pests and Current Advances for their Management." In Postharvest Technology - Recent Advances, New Perspectives and Applications [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.101503.

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During the offseason, when fresh food is not available, humans have to consume stored grain food. Unfortunately, these stored grains are later infested with many pests. Foods stored in bags and bins are very much susceptible to infestation with several pests which can cause extensive post-harvest losses, spoilage, and less demand in markets, causing a huge economic crisis. Hence, successful management of stored grain pests becomes necessary to prevent these from insect pests. Current approaches for their management are one of the promising goals, as it includes preventive practices, monitoring, sanitation, and identification of main pathogens. Different management strategies of all the common stored grain pests viz. grain weevils, grain borers, grain moths, flour moths, mealworms, grain and flour beetles, booklice, mites, and parasites are enlisted here.
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S., Madumidha, SivaRanjani P., and Venmuhilan B. "Integrating Blockchain and IoT in Supply Chain Management." In Research Anthology on Convergence of Blockchain, Internet of Things, and Security, 291–313. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7132-6.ch018.

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Internet of things(IoT) is the conception of interfacing the devices to the internet to make life more efficient. It comprises the large amount of data in its network where it fails to assure complete security in the network. Blockchain is a distributed ledger where it mainly focuses on the data security. Every block in the blockchain network is connected to its next block, which prevents threats like large data loss. In the area of agri-food supply chain, where IoT plays a very important role, there occurs data integrity issues or data tampering. This can lead to improper supply chain management, timely shortage of goods, food spoilage, etc. So the traceability of agri-food supply chain is necessary to ensure food safety and to increase the trust between all stakeholders and consumers. Many illegal activities can be prevented, and cold chain monitoring can be achieved by bringing in transparency and traceability.
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S., Madumidha, SivaRanjani P., and Venmuhilan B. "Integrating Blockchain and IoT in Supply Chain Management." In Large-Scale Data Streaming, Processing, and Blockchain Security, 203–29. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3444-1.ch010.

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Internet of things(IoT) is the conception of interfacing the devices to the internet to make life more efficient. It comprises the large amount of data in its network where it fails to assure complete security in the network. Blockchain is a distributed ledger where it mainly focuses on the data security. Every block in the blockchain network is connected to its next block, which prevents threats like large data loss. In the area of agri-food supply chain, where IoT plays a very important role, there occurs data integrity issues or data tampering. This can lead to improper supply chain management, timely shortage of goods, food spoilage, etc. So the traceability of agri-food supply chain is necessary to ensure food safety and to increase the trust between all stakeholders and consumers. Many illegal activities can be prevented, and cold chain monitoring can be achieved by bringing in transparency and traceability.
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Conference papers on the topic "Food spoilage monitoring"

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Yuan, Mengyao, Rami Ghannam, Petros Karadimas, and Hadi Heidari. "Flexible RFID Patch for Food Spoilage Monitoring." In 2018 IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia). IEEE, 2018. http://dx.doi.org/10.1109/primeasia.2018.8598134.

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Green, Geoffrey C., Adrian D. C. Chan, and Rafik A. Goubran. "Tracking food spoilage in the smart home using odour monitoring." In 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2011. http://dx.doi.org/10.1109/memea.2011.5966685.

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Green, Geoffrey C., Adrian D. C. Chan, and Rafik A. Goubran. "Monitoring of food spoilage with electronic nose: potential applications for smart homes." In 3d International ICST Conference on Pervasive Computing Technologies for Healthcare. ICST, 2009. http://dx.doi.org/10.4108/icst.pervasivehealth2009.7001.

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Green, Geoffrey C., Adrian D. C. Chan, and Rafik A. Goubran. "Monitoring of food spoilage with electronic nose: potential applications for smart homes." In 3rd International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health 2009). IEEE, 2009. http://dx.doi.org/10.1109/pcthealth.2009.5291419.

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Chongthanaphisut, Phunvira, Thara Seesaard, and Teerakiat Kerdcharoen. "Monitoring of microbial canned food spoilage and contamination based on e-nose for smart home." In 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2015. http://dx.doi.org/10.1109/ecticon.2015.7206960.

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